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Fig. 4 | BMC Endocrine Disorders

Fig. 4

From: Comparison of the cox regression to machine learning in predicting the survival of anaplastic thyroid carcinoma

Fig. 4

The Logistic model based on the SHAP algorithm. (Note: (A) The attributes of the features predicting 6-month OS; Y-axis represents features. x-axis represents the degree of influence on the outcome, Each dot represents a sample, the red dots represent the high risk value and the blue dots represent the low risk value。(B) Ranking of feature importance predicting 6-month OS; (C) The attributes of the features predicting 12-month OS; (D) Ranking of feature importance predicting 12-month OS; (E) The attributes of the features predicting 6-month CSS; (F) Ranking of feature importance predicting 6-month CSS; (G) The attributes of the features predicting 12-month CSS; (H) Ranking of feature importance predicting 12-month CSS)

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BMC Endocrine Disorders

ISSN: 1472-6823

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